similar to: Any way to simplify repeated use of same string-list?

On Tue, 21/11/17, Jeff Kletsky <dovecot at allycomm.com> wrote: > On 11/20/17 1:58 PM, Someone wrote: > > > I've been struggling with this on and off for a while now. Upon > > attempting to install Dovecot on Ubuntu 17.04 I get the following errors [...] > "Hint: Some lines were ellipsized, use -l to show in full." I'm aware of that, yes.

https://bugzilla.netfilter.org/show_bug.cgi?id=1216 Bug ID: 1216 Summary: Error messaging for "interval overlaps with previous one" misidentifies location Product: nftables Version: unspecified Hardware: All OS: All Status: NEW Severity: major Priority: P5

https://bugzilla.netfilter.org/show_bug.cgi?id=1174 Bug ID: 1174 Summary: 'define' functionality not sufficient for maintaining sets and the like Product: nftables Version: unspecified Hardware: All OS: All Status: NEW Severity: enhancement Priority: P5

https://bugzilla.netfilter.org/show_bug.cgi?id=1176 Bug ID: 1176 Summary: Invalid identifiers produce unhelpful error messages Product: nftables Version: unspecified Hardware: All OS: All Status: NEW Severity: critical Priority: P5 Component: nft Assignee: pablo at

I'm struggling to achieve the kind of filtering with sieve that I was able to do with procmail. TL;DR I'd like a way to loop through a set of (address, destination) pairs in sieve so that I can maintain the (address, destination) pairs in one place and not have to explicitly write scores of nearly identical [...] if address :matches ["From", "Sender",

https://bugzilla.netfilter.org/show_bug.cgi?id=1178 Bug ID: 1178 Summary: Provide better error messaging when a rule can't be executed in its context Product: nftables Version: unspecified Hardware: All OS: All Status: NEW Severity: enhancement Priority: P5

https://bugzilla.netfilter.org/show_bug.cgi?id=1188 Bug ID: 1188 Summary: nft fails to parse own output; unable to save-restore active state Product: nftables Version: unspecified Hardware: All OS: All Status: NEW Severity: critical Priority: P5 Component: nft

Why the string interpolation is not working inside the Nokogiri method `#search` ? require ''nokogiri'' doc = Nokogiri::HTML::Document.parse <<-eotl <div> <p>foo</p> <p>foo</p> <p>bar</p> </div> eotl doc.class # => Nokogiri::HTML::Document class Person attr_accessor :name end ram = Person.new

> On Apr 5, 2018, at 2:00 PM, g l <gnulinux at gmx.com> wrote: > >> Sent: Thursday, April 05, 2018 at 4:40 PM >> From: "Jeff Newmiller" <jdnewmil at dcn.davis.ca.us> >> >> the coef function. >> > > For the benefit of other novices, used the following command to read the documentation: > > ?coef > > Then tried and

https://bugzilla.netfilter.org/show_bug.cgi?id=1171 Bug ID: 1171 Summary: define statement does not accept negative numbers Product: nftables Version: unspecified Hardware: All OS: All Status: NEW Severity: normal Priority: P5 Component: nft Assignee: pablo at netfilter.org

Could someone point me to documentation that provides a succinct and accurate description of the difference between interpolation using #{}, single quotes, and double quotes ? I imagine there''s a set of precedence rules that govern behavior if/when they''re mixed. I''d like to get clear on this. Thanks, Bill -------------- next part -------------- An HTML attachment was

> Sent: Thursday, April 05, 2018 at 4:40 PM > From: "Jeff Newmiller" <jdnewmil at dcn.davis.ca.us> > > the coef function. > For the benefit of other novices, used the following command to read the documentation: ?coef Then tried and obtained: > cvalue100<-coef(graphmodelp~100) > cvalue100 NULL Then looked at the model values which of course correspond

Try coef( graphmodeld ) And you don't need to approximate if you use the newdata argument to the predict function. I think reading the "Introduction to R" that comes with R would help. -- Sent from my phone. Please excuse my brevity. On April 5, 2018 2:00:45 PM PDT, g l <gnulinux at gmx.com> wrote: >> Sent: Thursday, April 05, 2018 at 4:40 PM >> From:

When creating an helper string for do_aug_match(), use a simpler asprintf() with manual free(), since the code block is small enough. This slightly helps static code analyzers. --- daemon/augeas.c | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/daemon/augeas.c b/daemon/augeas.c index bd54c4849..453251337 100644 --- a/daemon/augeas.c +++ b/daemon/augeas.c @@ -420,17

ACK series. Were these found by Coverity? If so then we usually mention that in the commit message. Thanks, Rich. -- Richard Jones, Virtualization Group, Red Hat http://people.redhat.com/~rjones Read my programming and virtualization blog: http://rwmj.wordpress.com virt-top is 'top' for virtual machines. Tiny program with many powerful monitoring features, net stats, disk stats,

Dear all; First of all, this is probably a more conceptual question than a R-related one, but still want to give it a try. When working with the interpolation function "interp" from the package akima and the triangulation function "tri.mesh" from package tripack I've got NA's for the interpolation and "error" for the triangulation. The data is arranged in a

https://bugzilla.netfilter.org/show_bug.cgi?id=1179 Bug ID: 1179 Summary: vmap and sets cause "BUG: invalid range expression type set" Product: nftables Version: unspecified Hardware: All OS: All Status: NEW Severity: major Priority: P5 Component: nft

Hello again, I was looking for some way on How to delete repeated appearance in a String. Let say I have following string: Text <- "ahsgdvasgAbcabcsdahj" Here you see "Abc" appears twice. But I want to keep only 1 occurrence. Therefore I need that: Text_result <- "ahsgdvasgAbcsdahj" (i.e. the first one). Can somebody help me if it is possible using some R

https://bugzilla.netfilter.org/show_bug.cgi?id=1184 Bug ID: 1184 Summary: disable implicit concatenating of elements of sets with flag interval Product: nftables Version: unspecified Hardware: x86_64 OS: All Status: NEW Severity: enhancement Priority: P5 Component:

Hi, is there a specific/appropriate function/package to perform post hoc tests when running a two way repeated measures anova? I'm looking for something that will be equivalent to the 'TukeyHSD()' for between subjects anova (with 'aov()'). For one way repeated measures anova, the 'pairwise.t.test()' function seems to work correctly but the results are questionable for